DOJ vs. Fed Chair, Apple Repositions Vision Pro, Ben Thompson Joins | Tyler Cowen, Harley Finkelstein, Andrew Feldman, Nathan Nwachuku, Anastasios Angelopoulos
TBPN
Vision Pro's Killer Use Case: Live
Ben and hosts argue live events could be the anchor use case that drives device demand and developer interest.
Sign up for TBPN’s daily newsletter at TBPN.com
- (00:33) - We Are Jerome Powell
- (02:08) - DOJ Opens Criminal Probe into FED Chair
- (04:15) - 𝕏 Timeline Reactions
- (11:42) - Apple's Vision Pro Strategy
- (26:52) - 𝕏 Timeline Reactions
- (29:54) - Ben Thompson, founder of Stratechery, is a technology and media analyst known for his in-depth analysis of tech industry strategies. In the conversation, he critiques Apple's Vision Pro, emphasizing that its immersive potential is undermined by overproduced content and unnecessary production elements. Thompson advocates for a more straightforward approach, suggesting that simply placing cameras courtside at live events would provide a more authentic and engaging experience for users.
- (01:07:35) - 𝕏 Timeline Reactions
- (01:23:46) - Tyler Cowen is an American economist, author, and professor at George Mason University, known for his work in cultural economics and as co-author of the blog Marginal Revolution. In the conversation, Cowen discusses the impact of artificial intelligence on blue-collar jobs, suggesting that while AI may reduce demand for certain tasks, overall job opportunities in these sectors will increase due to new projects and developments. He also touches on the role of data centers in the U.S. economy, the potential of AI-generated music, and the importance of aesthetics in urban development.
- (01:56:10) - Andrew Feldman, CEO and co-founder of Cerebras Systems, discusses the company's pioneering efforts in AI hardware, highlighting the development of their Wafer Scale Engine (WSE) chips, which integrate memory and logic onto a single, large-scale wafer to enhance performance and efficiency. He emphasizes the significance of fast inference in AI applications, noting that the WSE-3 chip can train models ten times larger than OpenAI's GPT-4, and mentions partnerships with organizations like the Mayo Clinic and G42 in the UAE to deploy these technologies. Feldman also reflects on the challenges of innovating in the semiconductor industry, including overcoming skepticism and technical hurdles associated with wafer-scale integration.
- (02:29:26) - Nathan Nwachuku, a 22-year-old software engineer and co-founder of Terra Industries, is leading efforts to establish Africa's first modern defense prime by developing autonomous security systems to protect the continent's critical infrastructure. He discusses his journey from launching an edtech startup at 17 to recognizing the need for foundational security solutions to support Africa's industrial growth, leading to the creation of Terra Industries in 2024. Nwachuku highlights the company's focus on building surveillance technologies, including drones and sentry towers, powered by a unified software platform to address evolving threats across land, air, and maritime domains.
- (02:40:07) - Anastasios Nikolas Angelopoulos, a former PhD student at UC Berkeley, is a co-founder of LM Arena, a platform for evaluating large language models (LLMs) based on human preferences. In the conversation, he discusses the challenges of model evaluation, the importance of unbiased user feedback, and the platform's role in helping users make informed decisions about LLMs. He also highlights the platform's growth, its approach to incentivizing user participation, and future plans to expand evaluation categories and integrate speed and cost considerations.
- (02:53:22) - 𝕏 Timeline Reactions
- (02:58:30) - Harley Finkelstein, President of Shopify, is a Canadian entrepreneur and lawyer who founded his first company at 17 and later earned a law degree and MBA from the University of Ottawa. In the transcript, he discusses the rapid emergence of billion-dollar brands like Skims and Gymshark, emphasizing that these companies didn't just capture existing market share but created new markets by innovating within traditional product categories. He also highlights Shopify's collaboration with Google to develop the Universal Commerce Protocol, an open-source language enabling merchants to seamlessly integrate with AI agents, thereby enhancing the shopping experience through features like loyalty programs, subscriptions, and personalized delivery options.
TBPN.com is made possible by:
Ramp - https://Ramp.com
AppLovin - https://axon.ai
Cognition - https://cognition.ai
Console - https://console.com
CrowdStrike - https://crowdstrike.com
ElevenLabs - https://elevenlabs.io
Figma - https://figma.com
Fin - https://fin.ai
Gemini - https://gemini.google.com
Graphite - https://graphite.com
Gusto - https://gusto.com/tbpn
Labelbox - https://labelbox.com
Lambda - https://lambda.ai
Linear - https://linear.app
MongoDB - https://mongodb.com
NYSE - https://nyse.com
Phantom - https://phantom.com/cash
Plaid - https://plaid.com
Public - https://public.com
Railway - https://railway.com
Ramp - https://ramp.com
Restream - https://restream.io
Shopify - https://shopify.com
Turbopuffer - https://turbopuffer.com
Vanta - https://vanta.com
Vibe - https://vibe.co
Sentry - https://sentry.io
Follow TBPN:
https://TBPN.com
https://x.com/tbpn
https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231
https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235
https://www.youtube.com/@TBPNLive
The AI-powered Podcast Player
